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Lingxiao Chen proslijedio/la je Tweet
Since everyone's so read up on R0 (reproductive number) of diseases due to the
#coronavirus now, thought I'd do a quick thread explaining herd immunity Both concepts are closely related!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
https://buff.ly/383uAjW “Whenever we conduct statistical analyses, we make assumptions. Arguably the most common assumption of all, however, is barely mentioned: we assume the measurement we get is exactly the same as whatever we are trying to measure”
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Lingxiao Chen proslijedio/la je Tweet
New paper: Technology and Big Data Are Changing Economics by Janet Currie, Henrik Kleven & Esmée Zwiers http://www.nber.org/papers/w26715 "Event studies and bunching approaches are more recent...linked to the increased use of administrative data sources" Machine learning also on the risepic.twitter.com/ytoWnPrWSq
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Lingxiao Chen proslijedio/la je Tweet
Still missing the right method? Maybe this is it!
#epitwitter#statstwitter@AmJEpi@societyforepi@nondogmatist@eschisterman1https://doi.org/10.1093/aje/kwx350 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
An Introduction to Directed Acyclic Graphs • ggdag https://buff.ly/2RAq8T4 pic.twitter.com/a6XwL3gKDx
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Lingxiao Chen proslijedio/la je Tweet
Simulation models can be a useful way to combine what we think we know into a numeric summary, but that summary is only as good as our knowledge. If we have very little real knowledge, like with the new coronavirus, the summary can be very very wrong. Be patient & wait for data.
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Lingxiao Chen proslijedio/la je Tweet
This is an important point for epidemiology too. Some of the questions we want to answer need complex methods, but many of our important questions could be answered much more easily if only we had the right, good quality data.https://twitter.com/hspter/status/1223315485128683522 …
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Lingxiao Chen proslijedio/la je Tweet
Can Confidence Intervals be Interpreted? | American Journal of Epidemiology | Oxford Academichttps://buff.ly/2GHOyow
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Lingxiao Chen proslijedio/la je Tweet
An important thread about panic, that it’s not typical or inevitable, how it’s fueled, and why it’s dangerous. Take a moment to read this
https://twitter.com/isabelott/status/1223342006899888128 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
All this talk of a new virus can be scary, but there are plenty of things regular people can do to help prevent or stop an outbreak. To see how you can help, check out my new post: “A regular person’s guide to outbreak preparedness”
#nCoV#2019nCoVhttps://link.medium.com/wRUxSKKsC3Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
My latest blog https://errorstatistics.com/2020/01/20/s-senn-error-point-the-importance-of-knowing-how-much-you-dont-know-guest-post/ … on point estimates and uncertainty. My thanks to
@learnfromerror for hosting this.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
#Statistics thought of the day: Once you understand that optimum decision making is predictive (not retrospective) and needs utilities specified, you'll stop using sens/spec/ROC/confusion matrix: http://datamethods.org/t/sensitivity-specificity-and-roc-curves-are-not-needed-for-good-medical-decision-making …#bbrcourse@vandy_biostat@VUDataScienceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
If you’re struggling to know what to report when you haven’t used meta-analysis in a review, check out SWiM - Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guidelinehttps://www.bmj.com/content/368/bmj.l6890 …
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Lingxiao Chen proslijedio/la je Tweet
Use of E-values for addressing confounding in observational studies—an empirical assessment of the literature | International Journal of Epidemiology | Oxford Academichttps://buff.ly/2FVHmor
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Lingxiao Chen proslijedio/la je Tweet
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification | medRxivhttps://buff.ly/2u6K086
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Lingxiao Chen proslijedio/la je Tweet
Causal Inference in Introductory Statistics Courses: Journal of Statistics Education: Vol 0, No jahttps://buff.ly/2FTtLhr
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Lingxiao Chen proslijedio/la je Tweet
Most people are pretty burnt by the end of a PhD. A good post-doc can be rejuvenating or confirm it's not your cup of tea. If you're unsure, look for a post-doc that will be fun & give you time to breathe before deciding. Check out this from
@ER_Mayeda:https://www.linkedin.com/pulse/postdoctoral-fellowship-worth-time-elizabeth-rose-mayeda/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
Happy New Year! To celebrate 2020, how about an
#EpiEllie#tweetorial? Today, let’s talk about e-values and how to interpret them!pic.twitter.com/SkzyJ0WgMv
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Lingxiao Chen proslijedio/la je Tweet
#Statistics thought of the day: I don't seek someone's decision about whether it will rain today. I want Prob(rain) in playing the odds when considering an umbrella. Likewise, testing null hypotheses is far less useful than playing the odds of a treatment effect.@vandy_biostatHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lingxiao Chen proslijedio/la je Tweet
This thread nicely highlights something that’s always bothered me with AI vs doctor comparisons — when the gold standard is the doctors’ diagnoses, AI can at best only ever do par. If we want to move the needle, then we need to assess success on *outcomes* not diagnoses!https://twitter.com/VPrasadMDMPH/status/1212840987363442689 …
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